On Nonlinear Time Series Analysis and Climate Variability
Conference talk, American Mathematical Society Contributed Paper Session, University of Wisconsin-Milwaukee, Wisconsin, USA
Talks and presentations
Foundations of Nonlinear Time Series Analysis
Capstone presentation, Mathematics Capstone Seminar, Truman State University, Kirksville, Missouri, USA
Human-Animal Relationships in Maasai Mara Game Reserve: A Mathematical Model
Talk, Student Research Conference, Truman State University, Kirksville, Missouri, USA
The paper explores the human-animal relationship in Kenya’s Maasai Mara game reserve. It aims to determine the variables that have the most significant impact on the cumulative health of the reserve. The study uses rates of change of activities rather than the value of activities to establish relationships between variables. The data is obtained from research publications, case studies, and commercial websites related to the reserve and Kenya. The paper proposes a model to illustrate the need for policy and quantifies that need using simulations. The variables studied include the rate of change of life expectancy, the human gain index, poaching, forage availability, grazing, off-roading occurrences, land availability to animals, and tourism. The model is a simplified version of a biological model that is profoundly intricate and complex, and the weights associated with each factor are abstracted as proportionality constants.
Tea Time with Sue: Krishna Chebolu (S2E4)
Capstone presentation, Truman State University, Kirksville, Missouri, USA
Developing a Bitcoin and Gold Portfolio Manager
Talk, Student Research Conference, Truman State University, Kirksville, Missouri, USA
Developing a strategy for frequent trading based on price data from financial markets is difficult, but the reward is well worth it. This paper presents a model that recommends a successful day-to-day trading strategy. Explicitly developed for trading in Bitcoin and gold, Dynamic Gradient-Indicator (DGI) model identifies the trends of the market prices using the fundamentals concepts of calculus. This design can be adjusted to many similar market environments. We show the results of our preliminary testing and discuss the advantages of the DGI model over other trading strategies.
Seeing Where the Real Buzz Is
Talk, Student Research Conference, Truman State University, Kirksville, Missouri, USA
Interpreting data and directing resources accordingly is arguably the most difficult task there is after obtaining data. This paper presents a model that filters data using a point system to decide which report, out of the given data, is most deserving of additional resources and/or attention. After defining different parameters, we elaborate on how the model was made and justify any measurements. The model was tested using a computer program with the given data and has worked, consistently scoring cases of Positive IDs lowly, meeting our expectations (Our model ranks the lowest score first and the highest score last). This model is also capable of adapting itself to new data as it receives it, making it a dynamic and pragmatic tool. Finally, we discuss the future of the model and how it could work in a changing environment.